| A mutual multi-scale triplet graph convolutional network for classification of brain disorders using functional or structural connectivity D Yao, J Sui, M Wang, E Yang, Y Jiaerken, N Luo, PT Yap, M Liu, D Shen IEEE transactions on medical imaging 40 (4), 1279-1289, 2021 | 131 | 2021 |
| Spatial-temporal dependency modeling and network hub detection for functional MRI analysis via convolutional-recurrent network M Wang, C Lian, D Yao, D Zhang, M Liu, D Shen IEEE Transactions on Biomedical Engineering 67 (8), 2241-2252, 2019 | 113 | 2019 |
| Multi-site clustering and nested feature extraction for identifying autism spectrum disorder with resting-state fMRI N Wang, D Yao, L Ma, M Liu Medical image analysis 75, 102279, 2022 | 65 | 2022 |
| An ensemble learning system for a 4-way classification of Alzheimer’s disease and mild cognitive impairment D Yao, VD Calhoun, Z Fu, Y Du, J Sui Journal of neuroscience methods 302, 75-81, 2018 | 60 | 2018 |
| Triplet graph convolutional network for multi-scale analysis of functional connectivity using functional MRI D Yao, M Liu, M Wang, C Lian, J Wei, L Sun, J Sui, D Shen Graph Learning in Medical Imaging: First International Workshop, GLMI 2019 …, 2019 | 54 | 2019 |
| Temporal-adaptive graph convolutional network for automated identification of major depressive disorder using resting-state fMRI D Yao, J Sui, E Yang, PT Yap, D Shen, M Liu Machine Learning in Medical Imaging: 11th International Workshop, MLMI 2020 …, 2020 | 50 | 2020 |
| International workshop on machine learning in medical imaging D Yao, J Sui, E Yang, PT Yap, D Shen, M Liu | 49 | 2020 |
| Shared and distinct resting functional connectivity in children and adults with attention-deficit/hyperactivity disorder X Guo, D Yao, Q Cao, L Liu, Q Zhao, H Li, F Huang, Y Wang, Q Qian, ... Translational psychiatry 10 (1), 65, 2020 | 42 | 2020 |
| Mutual quantization for cross-modal search with noisy labels E Yang, D Yao, T Liu, C Deng Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 34 | 2022 |
| Deep bayesian hashing with center prior for multi-modal neuroimage retrieval E Yang, M Liu, D Yao, B Cao, C Lian, PT Yap, D Shen IEEE transactions on medical imaging 40 (2), 503-513, 2020 | 25 | 2020 |
| Aberrant brain dynamics and spectral power in children with ADHD and its subtypes N Luo, X Luo, S Zheng, D Yao, M Zhao, Y Cui, Y Zhu, VD Calhoun, L Sun, ... European Child & Adolescent Psychiatry 32 (11), 2223-2234, 2023 | 18 | 2023 |
| Discriminating ADHD from healthy controls using a novel feature selection method based on relative importance and ensemble learning D Yao, X Guo, Q Zhao, L Liu, Q Cao, Y Wang, VD Calhoun, L Sun, J Sui 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 14 | 2018 |
| Integrating multimodal MRIs for adult ADHD identification with heterogeneous graph attention convolutional network D Yao, E Yang, L Sun, J Sui, M Liu Predictive Intelligence in Medicine: 4th International Workshop, PRIME 2021 …, 2021 | 9 | 2021 |
| Tensor-based multi-index representation learning for major depression disorder detection with resting-state fMRI D Yao, E Yang, H Guan, J Sui, Z Zhang, M Liu Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 9 | 2021 |
| Deep disentangled hashing with momentum triplets for neuroimage search E Yang, D Yao, B Cao, H Guan, PT Yap, D Shen, M Liu Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 8 | 2020 |
| ADHD classification within and cross cohort using an ensembled feature selection framework D Yao, H Sun, X Guo, VD Calhoun, L Sun, J Sui 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019 | 8 | 2019 |
| BNCPL: brain-network-based convolutional prototype learning for discriminating depressive disorders D Zhi, VD Calhoun, C Wang, X Li, X Ma, L Lv, W Yan, D Yao, S Qi, ... 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 6 | 2021 |
| Investigating ADHD subtypes in children using temporal dynamics of the electroencephalogram (EEG) microstates * N Luo, X Luo, D Yao, VD Calhoun, L Sun, J Sui 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 6 | 2021 |
| Learning transferable 3D-CNN for MRI-based brain disorder classification from scratch: An empirical study H Guan, L Wang, D Yao, A Bozoki, M Liu Machine Learning in Medical Imaging: 12th International Workshop, MLMI 2021 …, 2021 | 5 | 2021 |
| DystoniaBoTXNet: novel neural network biomarker of botulinum toxin efficacy in isolated dystonia D Yao, LC O'Flynn, K Simonyan Annals of neurology 93 (3), 460-471, 2023 | 3 | 2023 |
Mingxia LiuUniversity of North Carolina at Chapel HillEmail verificata su med.unc.edu
